Antlion optimization algorithm
Image Enhancement Based on Improved Antlion Optimization Algorithm
... the optimization algorithm and improve the accuracy of the ...on antlion optimization, this paper introduces quadratic interpolation, and it was used to the image enhancement based on the ...
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Antlion Optimization Algorithm Based on Quadratic Interpolation
... the algorithm. Therefore, this paper integrates QI into ALO algorithm, and the antlion optimization algorithm based on quadratic interpolation (QIALO) is proposed to improve the ...
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Antlion Optimization for Bending of Arrow Honeycomb
... The Antlion Optimization algorithm is a novel optimization algorithm which mimics the hunting process of antlions in ...An antlion larvae digs a cone-shaped pit by rotating in ...
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Antlion Optimization for Bending of Arrow Honeycomb
... The Antlion Optimization algorithm is a novel optimization algorithm which mimics the hunting process of antlions in ...An antlion larvae digs a cone-shaped pit by rotating in ...
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Nature inspired metaheuristic algorithms a comparative review
... An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till an optimum or a satisfactory solution is ...the optimization problems because of their easy ...
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Adaptive Central Force Optimization Algorithm Based on the Stability Analysis
... In aforementioned CFO algorithms, two updated equa- tions were used: one for a probe’s acceleration and the other for its position. In the probe’s position updated equation which is established based on the laws of ...
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Solving Asymmetric Travelling Salesman Problem using Memetic Algorithm
... combinatorial optimization studied in theory based computer science and operation research ...Various optimization methods exist to solve TSP such as simulated annealing, tabu search, ant colony ...
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Comparison of Evolutionary Optimization Techniques for Unconstrained
... In ABC algorithm, the position of a food source represents a possible solution to the optimization problem. At initialization, a set of food source positions are randomly produced. The nectar amount ...
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Scheduling Problem of Shared Car Based on Fish Swarm Algorithm
... not be satisfied, and cars with low demand are idle. In this case, from the operator's point of view, the car can not get higher utilization rate, and the system can not get higher returns. From the user's point of view, ...
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Knowledge Migration Strategies for Optimization of Multi-Population Cultural Algorithm
... Evolutionary algorithms (EA) is a subset of EC, and hence they are also considered as optimization algorithms. The common underlying concept in each evolutionary algorithm is the same: given a set of the ...
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AHP COA Combined Algorithm for Selecting a Digital Production Machine Design
... COA algorithm approach in order to find Pareto solutions for multi-objective selection of advanced machining ...This optimization of the results shows that the algorithm is ...
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Bees Algorithm Inspired By Grenade Explosion Method
... Bees Algorithm (BA) is moderately new developmental calculation that may be utilized to discover ideal or close ideal arrangements in huge pursuit region (Pham et al, ...benchmark optimization problems ...
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... an algorithm that underlines the computational procedure to find an optimal solution to any given ...of optimization implicitly include reducing computational time and ...of optimization have grown ...
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COMPARATIVE STUDY OF HEURISTIC OPTIMIZATION TECHNIQUES (HOTS) FOR ENERGY EFFICIENT INDUCTION MOTOR DESIGN
... Genetic algorithm (GA) is a search algorithm based on the behavior of natural selection and genetics. GA’s operate on a population of potential solutions applying the principle of survival of the fittest to ...
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MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION SYSTEM
... The real estate circle is a filed with high potential rewards and high risks. How to control the investment risk and improve the cash flow and profitability of the project are urgent questions for the investors and the ...
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A Hybrid Genetic Algorithm Approach To Solve Inverse Kinematics Of A Mechanical Manipulator
... an algorithm which uses the Newton- Raphson method and genetic algorithm to solve inverse ...hybrid algorithm to solve this ...hybrid algorithm. The Hybrid algorithm converges to a ...
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Probit Based Grey Wolf Optimal Route Path Discovery In Internet Of Vehicles
... Wolf Optimization (PRCBGWO) technique is introduced to improve the reliable data transmission and minimize the end to end delay in ...Wolf Optimization technique is applied to discover the optimal route ...
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Adaptive wireless network multi-objective optimization algorithm based on image synthesis
... the algorithm to some ...the algorithm to a certain extent. However, the complex- ity of the algorithm has been greatly increased, and the efficiency of the algorithm is relatively ...the ...
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Floor Layout Optimization Using Genetic Algorithm
... genetic optimization for a number of possibly competing ...to optimization and search ...to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, ...
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Multi Objective Optimization Of Two Stage Operational Amplifiers Using Antlion Optimization
... Research work concentrated in the establishment of determining the best design parameters for CMOS Operational Amplifier with the help of Multi-Motivational Optimization strategy. The mentioned strategy involved ...
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